The concept of Data Orchestration is a new one and has yet to clearly be defined to the industry. I have my own unique view and want to provide a simple guide to achieving this goal. Data orchestration is when a brand is receiving real-time data and insights on a user no matter the device, tool or technology they may be interacting and engaging with. Data orchestration helps to solve the challenges of data fragmentation, organizational silos, technology integrations that don’t speak the same language, and ultimately, poor customer experiences.
Data orchestration is when a brand is receiving real-time data and insights on a user no matter the device, tool or technology they may be interacting and engaging with. Click To TweetSo how does a brand looking to find solutions to those challenges implement data orchestration within their organization?
I believe there are 6 key stages to successful Data Orchestration:
Each of these stages contains some significant requirements and as we know not all technology is created equal. So let’s take a look at each stage in detail:
Data Collection
Transformation
Enrichment and Stitching
Audience Association
Action
Ownership
These 6 stages are key to successful Data Orchestration. I believe these are core competencies that remove all of the batch processes from legacy approaches to data. Real-time in the realest sense – companies are entering the golden age of data.
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